A signal-processing-based approach to time-varying graph analysis for dynamic brain network identification

DOI10.1155/2012/451516zbMath1401.92033DBLPjournals/cmmm/MutluBA12OpenAlexW2141686527WikidataQ36189430 ScholiaQ36189430MaRDI QIDQ454658

Edward Bernat, Selin Aviyente, Ali Yener Mutlu

Publication date: 10 October 2012

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2012/451516

zbMATH Keywords

signal processingdynamic brain networkfunctional brain activitytime-varying graph analysis

Mathematics Subject Classification ID

Applications of graph theory (05C90) Neural biology (92C20) Systems biology, networks (92C42)

Related Items (2)

Brain connectivity analysis from EEG signals using stable phase-synchronized states during face perception tasks ⋮ Motif-synchronization: a new method for analysis of dynamic brain networks with EEG

Uses Software

• GenLouvain
• Brain Connectivity Toolbox

Cites Work

• Community Structure in Time-Dependent, Multiscale, and Multiplex Networks
• A Time-Frequency-Based Approach to Phase and Phase Synchrony Estimation
• Collective dynamics of ‘small-world’ networks

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